Senior Data Platform Engineer
Apollo.ioFull Time
Senior (5 to 8 years)
Candidates must have 5+ years of experience in Java backend development, working with microservice-based paradigms and technologies across Data, Cloud Integration, and/or Search products. A solid understanding of SQL and relational databases (PostgreSQL preferred), experience with NoSQL systems (e.g., MongoDB), and hands-on experience building platforms on AWS or similar cloud technologies are required. Proven track record of delivering reliable and scalable production software across distributed systems, experience owning projects end-to-end, and strong communication skills with the ability to influence technical direction are also necessary.
The Senior Software Engineer will help build and scale a configuration-driven data platform processing millions of workflows daily to power Clari's ML, AI, and Analytics/Forecasting products. They will design and develop reusable data integration APIs for the cloud data lake, focusing on quality, architecture, and observability. Responsibilities include identifying and strategizing long-term opportunities, collaborating on planning, prioritization, and execution of the technical and architectural roadmap, and taking ownership of driving product success. The role also involves consistently delivering software on time, proactively identifying risks, and effectively adjusting and communicating plans to achieve team objectives.
Forecasting and pipeline management solutions for B2B
Clari provides forecasting, activity intelligence, and pipeline management solutions specifically designed for B2B revenue teams. Its platform integrates with Customer Relationship Management (CRM) systems to deliver real-time insights and predictive analytics, helping businesses forecast revenue accurately, identify potential deals, and manage customer churn. This integration allows teams across sales, marketing, customer success, and operations to work together with consistent revenue data. Clari differentiates itself from competitors by leveraging artificial intelligence and automation to enhance productivity and streamline the revenue process. The company's goal is to empower organizations to achieve better alignment and transparency in their revenue operations, ultimately leading to improved business outcomes.